Abstract
Automated video surveillance is a rapidly evolving area and has been gaining importance in the research community in recent years due to its capabilities of performing more efficient and effective surveillance by employing smart cameras. In this article, we present the design and implementation of an FPGA-based smart camera system for automated video surveillance. The complete system is prototyped on Xilinx ML510 FPGA platform and meets the real-time requirements of video surveillance applications while aiming at FPGA resource reduction. The implemented smart camera system is capable of automatically performing real-time motion detection, real-time video history generation, real-time focused region extraction, real-time filtering of frames of interest, and real-time object tracking of identified target with automatic purposive camera movement. The system is designed to work in real-time for live color video streams of standard PAL (720 × 576) resolution, which is the most commonly used video resolution for current generation surveillance systems. The implemented smart camera system is also capable of processing HD resolution video streams in real-time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kandhalu, A., Rowe, A., Rajkumar, R., Huang, C., Yeh, C.C.: Real-time video surveillance over IEEE 802.11 mesh network. In: Proceedings: 15th IEEE Real-Time and Embedded Technology and Applications Symposium, pp. 205–214 (2009)
Jiang, H., Ardo, H., Owall, V.: A hardware architecture for real-time video segmentation utilizing memory reduction techniques. IEEE Trans. Circ. Syst. Video Technol. 19(2), 226–236 (2009)
Singh, S., Saurav, S., Shekhar, C., Vohra, A.: Prototyping an automated video surveillance system using FPGAs. Int. J. Image Graph. Sig. Process. (IJIGSP) 8(8), 37–46 (2016). MECS Press
Singh, S., Dunga, S.M., Saini, R., Mandal, A.S., Shekhar, C., Vohra, A., Chaudhary, S.: Hardware accelerator design for change detection in smart camera. In: SPIE Proceedings: International Conference on Graphics and Image Processing (ICGIP 2010), Cairo, Egypt, vol. 8285, Article ID 82852T, pp. 1–5, 1–2 October 2011
Singh, S., Mandal, A.S., Shekhar, C., Vohra, A.: Real-time implementation of change detection for automated video surveillance system. ISRN Electronics 2013, 1–5 (2013). Article ID 691930, Hindawi, USA
Singh, S., Shekhar, C., Vohra, A.: FPGA-based real-time motion detection for automated video surveillance systems. Electronics 5(1), 1–18 (2016). MDPI, Switzerland
Singh, S., Saurav, S., Saini, R., Saini, A.K., Shekhar, C., Vohra, A.: Automatic real-time extraction of focused regions in a live video stream using edge width information. In: IEEE Proceedings: 18th International Symposium on VLSI Design and Test (VDAT-2014), PSG College of Technology, Coimbatore, India, 16–18 July 2014, pp. 1–2 (2014)
Singh, S., Dunga, S.M., Mandal, A.S., Shekhar, C., Chaudhary, S.: FPGA based embedded implementation of video summary generation scheme in smart camera systems. Adv. Mater. Res. 403–408, 516–521 (2011). Trans Tech Publications, Switzerland
Singh, S., Dunga, S.M., Saini, R., Mandal, A.S., Shekhar, C., Vohra, A.: Hardware accelerator design for tracking in smart camera. In: SPIE Proceedings: International Conference on Graphics and Image Processing (ICGIP 2010), Cairo, Egypt, vol. 8285, Article ID 82852S, pp. 1–5, 1–2 October 2011
Singh, S., Saini, R., Saurav, S., Saini, A.K.: Real-time object tracking with active PTZ camera using hardware acceleration approach. Int. J. Image Graph. Signal Process. (IJIGSP) 9(2), 55–62 (2017). MECS Press
Acknowledgements
This work was carried out under a project supported by Department of Electronics & Information Technology (DeitY)/Ministry of Communications and Information Technology (MCIT), Govt. of India.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Singh, S., Saurav, S., Saini, R., Mandal, A.S., Chaudhury, S. (2017). FPGA-Based Smart Camera System for Real-Time Automated Video Surveillance. In: Kaushik, B., Dasgupta, S., Singh, V. (eds) VLSI Design and Test. VDAT 2017. Communications in Computer and Information Science, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-7470-7_52
Download citation
DOI: https://doi.org/10.1007/978-981-10-7470-7_52
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7469-1
Online ISBN: 978-981-10-7470-7
eBook Packages: Computer ScienceComputer Science (R0)